Online Master's in Data Analytics offered by Oregon State University
- Public University
- 400 acre campus
- Estd. 1868
Online Master's in Data Analytics at OSU Overview
Online Master's in Data Analytics
at OSU
Gain a comprehensive overview of Data Analytics
Duration | 1.5 - 2 years |
Total fee | ₹14,400 |
Mode of learning | Online |
Official Website | Go to Website |
Course Level | PG Degree |
Online Master's in Data Analytics at OSU Highlights
Online Master's in Data Analytics
at OSU
- This Course is offered by the Oregon State University
Online Master's in Data Analytics at OSU Course details
Online Master's in Data Analytics
at OSU
More about this course
- In Oregon State University's online Master of Science in Data Analytics program, you'll explore real data problems that are interesting and challenging as you equip yourself with the quantitative tools and skills needed to gather, analyze and interpret data on large and small scales
- All courses in this program were developed and are taught by full-time Oregon State faculty members, and the coursework integrates OSU's strengths in statistics, computer science, mathematics, policy and applied sciences such as genomics
Online Master's in Data Analytics at OSU Faculty details
Online Master's in Data Analytics
at OSU
Sharmodeep Bhattacharyya
I am an Assistant Professor in Department of Statistics, Oregon State University. Before joining Oregon State University in Spring 2015, I was a post-doctoral research scholar in Department of Statistics, University of California, Berkeley. I am also involved in projects with Life Sciences Division, Lawrence Berkeley National Laboratory. I completed my PhD in Statistics from University of California, Berkeley in 2013 under supervision of Prof. Peter J. Bickel. Before that, I completed B.Stat and M.Stat from Indian Statistical Institute, Kolkata.
Yanming Di
Di, Y. (2015), "Single-gene negative binomial regression models for RNA-Seq data with higher-order asymptotic inference," Statistics and Its Interface, 8, 405-418. [https://www.intlpress.com/site/pub/pages/journals/items/sii/content/vols/0008/0004/a001/] Mi, G. and Di, Y. (2015), "The Level of Residual Dispersion Variation and the Power of Differential Expression Tests for RNA-Seq Data," PLoS ONE, 10(4). [https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0120117] Jiang, Y., Emerson, S., Wang, L., Li, L., and Di, Y. (2014), "Family-based association test using normal approximation to gene dropping null distribution," BMC Proceedings, 8(Supp 1), S18. [https://bmcproc.biomedcentral.com/articles/10.1186/1753-6561-8-S1-S18] Di, Y., Schafer, D. W., Emerson, S. C., and Chang, J. H. (2013), "Higher order asymptotics for negative binomial regression inferences from RNA-sequencing data," Stat Appl Genet Mol Biol, 12(1), 49-70. [http://dx.doi.org/10.1515/sagmb-2012-0071] Di, Y., Schafer, D. W., Cumbie, J. S., and Chang, J. H. (2011), "The NBP Negative Binomial Model for Assessing Differential Gene Expression from RNA-Seq," Statistical Applications in Genetics and Molecular Biology, 10(1). [http://dx.doi.org/10.2202/1544-6115.1637]
Read moreOnline Master's in Data Analytics at OSU Entry Requirements
Online Master's in Data Analytics
at OSU
General
Other courses offered by OSU
18 months
B++ Shiksha Grade
View Other 247 Courses
Online Master's in Data Analytics at OSU Popular & recent articles
Online Master's in Data Analytics
at OSU
View more articles
Online Master's in Data Analytics at OSU Contact Information
Online Master's in Data Analytics
at OSU